search for: metamdsdist

...istfun(comm, method = distance, ...) : you have empty rows: their dissimilarities may be meaningless in method “bray” 2: In distfun(comm, method = distance, ...) : missing values in results I realised some of the values are either zero or similar. I tried to check it with distance X .dist <- metaMDSdist( X , method="bray") got the error: Square root transformation Wisconsin double standardization Error in distfun(comm, method = distance, ...) : formal argument "method" matched by multiple actual arguments When I checked the distance I see some of the distances are NaN as for...

Hi, I am currently working on some data and feel that NMDS would return an excellent result. With my current data set however I have been experiencing some problems and cannot carry out metaMDS. I have tried with a few smaller data sets which I created for practice sake and this has worked fine. I think it is the set up of my data set that is causing me trouble. I have 18 columns and 18 rows,

Hello R-user community! I am running R 2.7.0 on a Power Book (Tiger). (I am still R and statistics beginner) Presently I try to run the function metaMDS (vegan) using an existing dissimilarity-matrix. As I would like to start with this matrix I thought I could just give the matrix using the x= -argument Test<-metaMDS(x=Dist.Gower) Fehler in inherits(comm, "dist") :

Hi, First I should note I am relatively new to R so I would appreciate answers that take this into account. I am trying to perform an MDS ordination using the function ?metaMDS? of the ?vegan? package. I want to ordinate species according to a set of functional traits. ?Species? here refers to ?sites? in traditional vegetation analyses while ?traits? here correspond to ?species? in such